{"id":1279,"datatype":"1","titleimg":"/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"1,000 People - Passenger Behavior Recognition Data","datazy":[{"title":"Data size","value":"1,000 people"},{"title":"Population distribution","value":"gender distribution: male, female; race distribution: Asian; age distribution: 18~45 years old, 46~60 years old, over 60 years old"},{"title":"Collecting environment","value":"in-car Cameras"},{"title":"Data diversity","value":"multiple age groups, multiple time periods, multiple lighting, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost children & items behaviors)"},{"title":"Device","value":"visible light and infrared binocular camera, resolution 1,920x1,080"},{"title":"Shooting position","value":"the center of rear view mirror inside the car, above the right A-pillar in the car, front passenger position, above the left B-pillar in the car, above the right B-pillar in the car"},{"title":"Collecting time","value":"day, evening, night"},{"title":"Collecting light","value":"normal light, weak light, strong light"},{"title":"Vehicle Type","value":"car, SUV, MVP, truck, coach"},{"title":"Data Format","value":"the video data format is .mp4"},{"title":"Accuracy","value":"according to the accuracy of each person's acquisition action, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%"}],"datatag":"Multiple age groups,Multiple time periods,Multiple behaviors (normal behaviors,Carsick behaviors,Sleepy behaviors,Lost items behaviors)","technologydoc":null,"downurl":null,"datainfo":"","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":"","samplePresentation":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/1.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=vyGpABhpeY%2BqExKD4qjG7lJ9bmw%3D","/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/1.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/4.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=fw0H6klXbf%2FaaS9pQ9EkuSU%2F%2BDc%3D","/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/4.png",""],["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/3.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=imfWFqz27EzvFwqp5GU%2B9iHEgas%3D","/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/3.png",""]],"officialSummary":"The 1,000 passenger behavior recognition data covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of passenger behavior identification data can be used for passenger behavior analysis and other tasks.","dataexampl":"","datakeyword":["Passenger normal behavior"," passenger carsick behavior"," passenger sleepy behavior"," passenger lost items behavior"," multiple age groups"," multiple time periods"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Task Type,Modalities","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"computer","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"],"single":"no","firstList":[["jpg","https://bj-oss-datatang-03.oss-cn-beijing.aliyuncs.com/filesInfoUpload/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/5.png?Expires=4102329599&OSSAccessKeyId=LTAI8NWs2pDolLNH&Signature=9ulTWh%2BHQ3xtlG%2BwDVkimaxyB%2BI%3D","/data/apps/damp/temp/ziptemp/APY231031003_demo1711101604943/APY231031003_demo/5.png",""]]}

en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

1,000 People - Passenger Behavior Recognition Data

Passenger normal behavior

passenger carsick behavior

passenger sleepy behavior

passenger lost items behavior

multiple age groups

multiple time periods

The 1,000 passenger behavior recognition data covers multiple ages, time periods and light exposure. Passenger behavior includes passenger normal behavior, passenger abnormal behavior (passenger motion sickness behavior, passenger sleepiness behavior, passenger lost children & items behaviors). In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of passenger behavior identification data can be used for passenger behavior analysis and other tasks.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

1,000 people

Population distribution

gender distribution: male, female; race distribution: Asian; age distribution: 18~45 years old, 46~60 years old, over 60 years old

Collecting environment

in-car Cameras

Data diversity

multiple age groups, multiple time periods, multiple lighting, multiple behaviors (normal behaviors, carsick behaviors, sleepy behaviors, lost children & items behaviors)

Device

visible light and infrared binocular camera, resolution 1,920x1,080

Shooting position

the center of rear view mirror inside the car, above the right A-pillar in the car, front passenger position, above the left B-pillar in the car, above the right B-pillar in the car

Collecting time

day, evening, night

Collecting light

normal light, weak light, strong light

Vehicle Type

car, SUV, MVP, truck, coach

Data Format

the video data format is .mp4

Accuracy

according to the accuracy of each person's acquisition action, the accuracy exceeds 95%;the accuracy of label annotation is not less than 95%

Sample

Sample

Recommended Datasets

Recommended Dataset

9,000 Images of 180 People - Driver Gsture 21 Landmarks Annotation Data

9,000 Images of 180 People - Driver Gsture 21 Landmarks Annotation Data. This data diversity includes multiple age periods, multiple time periods, multiple gestures, multiple vehicle types, multiple time periods. For annotation, the vehicle type, gesture type, person nationality, gender, age and gesture 21 landmarks (each landmark includes the attribute of visible and invisible) were annotated. This data can be used for tasks such as driver gesture recognition, gesture landmarks detection and recognition.

DMS driver gesture gesture 21 landmarks static gesture dynamic gesture driver gesture recognition gesture landmarks detection gesture landmarks recognition

500 Drivers - 7 Expression Recognition Data

Seven facial expressions recognition data of 500 drivers cover multiple ages, multiple time periods and multiple expressions. In terms of acquisition equipment, visible and infrared binocular cameras are used. This set of driver expression recognition data can be used for driver expression recognition analysis and other tasks.

Driver expression data driver expression data collection driver expression recognition data human pose data

1,000 People Driver Behavior Identification Data

1,000 People-Driver Behavior Identification Data. The data includes multiple ages, multiple time periods and multiple lighting. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

Driver behavior acquisition data driver behavior acquisition driver data acquisition driver behavior data

122 People - Passenger Behavior Recognition Data

122 People - Passenger Behavior Recognition Data. The data includes multiple age groups, multiple time periods and multiple races (Caucasian, Black, Indian). The passenger behaviors include passenger normal behavior, passenger abnormal behavior(passenger carsick behavior, passenger sleepy behavior, passenger lost items behavior). In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as passenger behavior analysis.

Passenger normal behavior passenger carsick behavior passenger sleepy behavior passenger lost items behavior multiple age groups multiple time periods

304 People Multi-race - Driver Behavior Collection Data

304 People Multi-race - Driver Behavior Collection Data. The data includes multiple ages, multiple time periods and multiple races (Caucasian, Black, Indian). The driver behaviors includes dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

dangerous behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods multiple races n-car Cameras RGB and infrared channels feeling passion sentiment excitement sensation affection intensity ardor sensibility fervor vehemence love response warmth zeal emotional pathos agitation spirit affectivity enthusiasm fervency perturbation impression sympathy sadness sentimentality thrill eagerness poignancy commotion emotionalism fire soul animation emotionality responsiveness sensitiveness disturbance energy expression tenderness pitifulness plaintiveness poignance sentiments vibes anger empathy feelings

103,282-Images Driver Behavior Annotation Data

103,282-Images Driver Behavior Annotation Data. The data includes multiple ages, multiple time periods and behaviors (Dangerous behaviors, Fatigue behaviors, Visual movement behaviors). In terms of annotation, 72 facial landmarks (including pupils), face attributes, gesture bounding boxes, seatbelt bounding boxes, pupil landmarks and behavior categories were annotated in the data. This data can be used for tasks such as driver behavior analysis.

dangerous behaviors fatigue behaviors visual movement behaviors 72 facial landmarks face attributes gesture bounding boxes seatbelt bounding boxes pupil landmarks behavior categories multiple ages multiple time periods In-car Cameras RGB and infrared channels.emini pair couple matches two brace pairs deuce double doubles duality twin match combine twosome duo dyad mates duet duplicate gemini the twins similitude yoke binaries counterparts mate analogs counterpart couples doublets look-alike parallel span deuces mirror images brothers clone duplexes nuts rocks alter egos balls clones combo doublet dyads equivalents join pair-offs plumsrn

1,003 People-Driver Behavior Collection Data

1,003 People-Driver Behavior Collection Data. The data includes multiple ages and multiple time periods. The driver behaviors includes Dangerous behavior, fatigue behavior and visual movement behavior. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis.

dangerous behaviors fatigue behaviors visual movement behaviors multiple ages multiple time periods In-car Cameras RGB and infrared channels

Tell Us Your Special Needs

Full Name *

Contact Phone No. *

Company name *

Company Email *

Data Requirements *

By submitting, I agree to the Privacy Protection

Subscribe to our newsletter

Be the first to receive Nexdata latest product releases, data solutions and enterprise news.

Off-the-Shelf Datasets: All Category Datasets; Computer Vision Datasets; Speech Recognition Datasets; Speech Synthesis Datasets; OCR Datasets; Pronunciation Dictionary; NLU Datasets; LLM Datasets

Data Service: 3D Point Cloud Data; Street View Data; OCR Data; Behavior Recognition Data; Identity Recognition Data; Speech Recognition Data; Speech Synthesis Data; Multimodal Data

Industries: Autonomous Vehicles; AR/VR; Conversational AI; Smart Home; Retail; Intelligent Healthcare; Generative AI

Company: About Us; News; partners; Quality & Security; Event
Links: OPENMPD; DataPlus

Annotation Platform: Annotation Platform
Resources: Sponsored Datasets

Sharpen Your AI with Better Data

+1(626)594-5598

[email protected]

Copyright © 2023 NEXDATA TECHNOLOGY INC

Sitemap Terms and Conditions

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

813f4425-64aa-43d9-93da-ae95c4725b54

b56a90e6-39de-4a33-9c94-a08e348d7e1a